基于QoS感知的Web服务推荐算法综述  

Survey of Web Service recommendation algorithm with QoS-awareness

作　　者：高文斌 董晨辰 王睿 胡谷雨 Gao Wenbin;Dong Chenchen;Wang Rui;Hu Guyu(School of Command and Control Engineering,Army Engineering University of PLA,Nanjing,Jiangsu 210007,China;School of Computer Science and Information Engineering,BengBu University)

机构地区：[1]陆军工程大学指挥控制工程学院,江苏南京210007 [2]蚌埠学院计算机与信息工程学院

出　　处：《计算机时代》2022年第3期1-4,10,共5页Computer Era

摘　　要：随着Web服务数量的迅速增长,服务过载的问题逐步显现。为了解决服务过载的问题,基于服务质量(Quality ofService,QoS)感知的服务推荐成为了服务计算领域的研究热点。从起初的基于协同过滤算法到目前基于深度学习的服务推荐算法,这些算法从各个角度提升着服务推荐的精度。文章以算法的改进过程为主线,对主要的服务推荐算法及其存在的弊端进行了分析与总结,并对未来服务推荐算法的发展进行了展望。With the rapid growth of the number of Web Services,the problem of service overload has gradually emerged.To relieve service overload,the QoS-aware service recommendation has become a hot research topic in the field of service computing.Whether the original collaborative filtering algorithm or the current service recommendation algorithms based on deep learning,these algorithms applied in the field of service recommendation have been improving the accuracy of service recommendation from all angles.Taking the improvement process of the algorithm as the main line,this paper analyzes and summarizes the main algorithms of service recommendation and their disadvantages,and prospects the development of service recommendation algorithm in the future.

关 键 词：服务质量 服务过载 服务推荐算法 分析 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]